Live US Import Data by HS Code 851680 for US Imports from South korea . Our US Import Bill of Lading Data and US Import Data by HS Code or country include HS code, date, B/L number, product description, loading and unloading ports, US importer/exporter name, quantity, etc.
Date |
HS Code |
Product Description |
Origin Country |
Unloading Port |
QTY. |
Unit |
Weight |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2024-05-30 | 851680 | AUTOMOTIVE PARTSHEATING WIREHS CODE:8516.80 | SOUTH KOREA | HOUSTON TEXAS | 219 | PCS | 3338 | Importer Name |
| 2024-05-30 | 851680 | 8 PALLETS = 219 CARTONS 8 PALLETS (219 CARTONS) AUTOMOTIVE PARTS HEATING WIRE HS CODE:8516.80 FREIGHT COLLECT AS ARRANGED WAYBILL | SOUTH KOREA | HOUSTON TEXAS | 219 | CTN | 5438 | Importer Name |
| 2024-06-06 | 851680 | GUTTERMELT HS CODE:8516.80 | SOUTH KOREA | LOS ANGELES CALIFORNIA | 9 | CTN | 6172 | Importer Name |
2024-05-30
AUTOMOTIVE PARTSHEATING WIREHS CODE:8516.80
219
PCS
3338
2024-05-30
8 PALLETS = 219 CARTONS 8 PALLETS (219 CARTONS) AUTOMOTIVE PARTS HEATING WIRE HS CODE:8516.80 FREIGHT COLLECT AS ARRANGED WAYBILL
219
CTN
5438
2024-06-06
GUTTERMELT HS CODE:8516.80
9
CTN
6172
It includes import date, product specifications, quantity, origin port in South-korea, destination port in US, detailed information about importing companies, and more.
By studying this data, businesses can assess pricing trends, track trade volumes, identify major importers, and understand the flow of goods under HS code 851680 entering US from South-korea.
HS Code 851680 covers a wide range of products. Analyzing imports under this code helps businesses understand market demand, supply patterns, and the competitiveness of imported products in US.
Yes. The data highlights both the origin ports in South-korea and the destination ports in US, providing deeper insights into trade flow patterns for products under HS code 851680.
Manufacturers, traders, market analysts, importers, and exporters use this data to understand bilateral trade dynamics, evaluate suppliers, and make informed, data-driven business decisions.
